Data mining and data visualization for analysing the rate of bed availability at hospitals due to COVID 19

Thanuj Kumar S*, Vinitha Dominic K and Sumathi V

This study started in July 2020 during the COVID 19 pandemic period to analyze & visually illustrate insights of data of biomedical facilities’ information. The objective of this study is to present major issues faced, solutions found, and a roadmap for future work in developing visual analytics for interactive & data visualization for biomedical facility applications. This chapter starts with a brief introduction of data mining and data visualization, followed by a description of data mining tasks and we’ll build a decision tree model, followed with the concrete examples on various data visualization charts(namely Histogram, Bar Chart, Pie Chart, Line graph, etc), this paper which is intended for visual analysis of “Bed availability rate” in hospitals and decision support for patients and is based on Data Mining & Visualization techniques.

Keywords:

Published on: Mar 18, 2021 Pages: 1-4

Full Text PDF Full Text HTML DOI: 10.17352/abse.000023
CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat